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Full Description
This book offers an extensive guide to classical and modern coding theory. Mainly addressed to graduate students, scientists and engineers, it may also be used to teach advanced undergraduates. It starts with an introduction to channels, metrics, and information theory fundamentals providing the essential background to understand the more advanced topics covered later. The core of the book offers a complete treatment of block and convolutional codes, including important decoding algorithms. Coding types are described together with the corresponding coded modulation and shaping methods. Trellises for block codes are introduced as well as modern coding schemes such as Turbo, LDPC, and Polar Codes. Network coding and lattices are also briefly described. Finally, this book also includes an extensive set of exercises, questions, and solutions, which will facilitate understanding and self-learning.
Contents
.- Channels, channel models, and metrics.- Introduction to Information Theory.- Basic coding definitions and some block codes.- Convolutional codes I - representation and formal description, etc.
